Episode 41: (Data Bites) The Third Evolution of the Data Profession

On Monday and Wednesday we discussed the existence of data as well as whether automation will kill the Analytics Industry.

In this episode, I wax poetic about the third wave of evolution for the data profession. Hint: it will involve an all-encompassing technology that gathers every area of the data profession into a single technology.

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Music for the show: Foolish Game / God Don’t Work On Commission by spinmeister (c) copyright 2014 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/spinmeister/46822 Ft: Snowflake


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Welcome to data couture. I’m your host Jordan, on today’s data bytes, we’re going to be talking about the next evolutionary stage for the data industry. Now on Monday and Wednesday, we talked about volunteers data exists and also will the analytics industry die because of automation, and go back and listen, but one data does exist and to know the analytics industry won’t die instead, it’ll just evolve into this next stage. Now on today’s data bites, we’re going to be talking about what I think will be the next iteration of the analytics industry after we get data in the hands of everyone across the organization. But before we do that, let me say once again, I have a Kickstarter currently up and running. And I’ve had lots of people take a look at it. And I would love for you to go over to data couture.org forward slash Kickstarter that is da ta couture.org, forward slash Kickstarter, become a backer today. It’ll help support this show and to at least the next year, if not longer. So I thank you very much. So let’s get into this episode.

Again, welcome to the show. Today, we’re going to be talking about what I can see as the next great evolution to the data industry. So on Monday, we talked about how we are just people with torches, who after discovering fire, realize, Oh, look, we can transport this to other places. And on Wednesday, we talked about what’s really going to happen in the near future, maybe two years, maybe five years, maybe 10 years, depending on your industry, namely, the analytics capabilities that are currently on deck that are usually clustered and secure, polluted and walled off to an analytics team being truly available to everyone across an organization.

Now, if you’re listening, and you happen to work at one of the more for thinking maybe FinTech startups or big tech companies, maybe this is par for the course. But frankly, it’s not really par for the course for every other industry anywhere else across the world. So this means that truly the next real evolution, the thing that drives home, the thing that makes it a household discussion, whenever somebody comes home and they talk to their family about what they did at work, well, part of that’s going to be analytics analytic space anyways, in the tool sets there in what I want to talk about for the next great evolution is a little bit of inside baseball.

So for those of you that don’t necessarily go to a lot of the conferences, or talk to some of the bigger players in the analytics industry, what’s happening is analytics is becoming SAS based object software as a service or robotics as a service kind of software. And why is that cool? It’s cool, specifically, because it makes it so easy to integrate any sort of analytics platform, any sort of analytics capabilities directly to whatever tech architecture tech platform that you have currently in operation at your company. And that’s great, that’s really great that that really gets the word out, it really gets everybody in the organization involved with with analytics, which, obviously, I am very endeared towards.

Nevertheless, what I see as the next great move is maybe a new technology Well, not necessarily new technology, but because the industry and all these players in the industry are trying to penetrate former ties for mines. I’m not really sure what you call, but nevertheless, making analytics a platform object or a platform capability. Really, the The next thing is not necessarily new AI are new algorithms, because let’s face it, all these algorithms were developed in the 30s and 40s. And they haven’t changed, anything that’s changed is our computing power and our storage capabilities. So don’t let anybody fool you that they’re creating some new novel algorithm. That’s, that’s not a thing. So I wish people would stop trying to sell that as though it were a thing.

Anyways, what I’m talking about is a technology that wraps up all of these other technologies, it serves as like a warm hug or weighted blanket. And instead of having a platform, instead, you just have this one technology that can do everything from the analysis to the machine learning and AI and predictive analytics to the visualization piece, and how maybe even the storytelling part or even the part that explains what that algorithm for the, the the machine learning, but is doing all of that and one, technology, one, practice one, one sort of thing. So what I’m trying to get at is, to give an example, when we do machine learning, for example, we use a variety of languages.

But at the end of the day, what we’re doing is pulling in data. And this data is the product of something that we’ve intensely cleaned, we’ve normalized, we’ve spent a lot of time understanding the very the variables that go into understanding the problem. So we’ve done quite a bit of analysis. And then we run it through one of many types of algorithms are perhaps we tested against lots of different algorithms, we group them together, either we create these algorithms that have lots of algorithms underneath them. And then we produce a result we produce another data set and this data set, we then employ using visualization techniques or perhaps putting it into a CRM or however else we would like to implement these solutions.

What I’m proposing is a technology that does all of this it it’s just one coding language perhaps or it’s it’s one technology that instead of going through all these steps, it’s combined into a single entity. I can’t give a name to it IK you know, it’s this this idea rattling around in my mind, but I see it as the next great step in the evolution of data of using this raw natural resource and employing it on a wide scale across our organizations are alive sir governments, what have you. I would really love to hear anyone else who maybe you’ve thought about this, maybe you have some ideas about how this might work. Be sure to leave a comment down below and I would I will definitely interact with you maybe even interview you because I am very interested in what this new technology might be. So until next time, thank you and have a nice

That’s it for the show. Thank you for listening and if you liked what you’ve
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music for the podcast. It’s called foolish game. God don’t work on commission by the artist spin Meister used under a Creative Commons Attribution 3.0 license,
writing editing. Production of the podcast is by
your host Jordan Bohall

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